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Article Dans Une Revue International Journal of Decision Support System Technology Année : 2021

Web-Based DSS for Resource Allocation in Higher Education

Résumé

The allocation of scarce resources is a complex higher education decision problem, especially when it comes to budget constraints. Therefore, the authors propose a multicriteria web-based decision support system for resource allocation in higher education organizations. To do so, they define an MCDA/M resource allocation model, based on a project portfolio selection problem to set the percentage of the total budget that every alternative should receive. For the web-based DSS, they develop a database model to store and retrieve data, define the user's interface, and they use a web platform to transform the prototype into a web-based system. Also, they run an empirical analysis with an end-user to test the DSS. They show that the system can provide a clear vision of how the resource allocation system works; the mechanism as a whole becomes more transparent to those involved, enabling them to make efficient and reasonable decisions.
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Dates et versions

hal-03709526 , version 1 (29-06-2022)

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Carolina Lino Martins, Pascale Zaraté, Adiel Teixeira de Almeida, Jônatas Araújo de Almeida, Danielle Costa Morais. Web-Based DSS for Resource Allocation in Higher Education. International Journal of Decision Support System Technology, 2021, 13 (4), pp.71-93. ⟨10.4018/IJDSST.2021100105⟩. ⟨hal-03709526⟩
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